code: def constant_bias_initializer(bias=0.0):
      @torch.no_grad()
      def init_bias(m):
          if isinstance(m, (nn.Linear, nn.Conv2d)):
              m.bias.fill_(bias)
  
      return init_bias
  
file_path: pfrl/pfrl/q_functions/dueling_dqn.py
imports: import torch
  import torch.nn
  import torch.nn.functional
  from pfrl import action_value
  from pfrl.initializers import init_chainer_default
  from pfrl.nn.mlp import MLP
  from pfrl.q_function import StateQFunction
label_desc: Use image node_id 1 for calling a global function with example usage: constant_bias_initializer(bias) and returns: init_bias